Harnessing Multiple Correlated Networks for Exact Community Recovery
Fuente:
arXiv
Saved in:
| Main Authors: | Rácz, Miklós Z., Zhang, Jifan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Efficient Graph Matching for Correlated Stochastic Block Models
by: Chai, Shuwen, et al.
Published: (2024)
by: Chai, Shuwen, et al.
Published: (2024)
Correlated uniform attachment trees
by: Bäumler, Johannes, et al.
Published: (2026)
by: Bäumler, Johannes, et al.
Published: (2026)
Perfect Recovery for Random Geometric Graph Matching with Shallow Graph Neural Networks
by: Liu, Suqi, et al.
Published: (2024)
by: Liu, Suqi, et al.
Published: (2024)
Exact Community Recovery in the Geometric SBM
by: Gaudio, Julia, et al.
Published: (2023)
by: Gaudio, Julia, et al.
Published: (2023)
Fundamental limits of community detection from multi-view data: multi-layer, dynamic and partially labeled block models
by: Yang, Xiaodong, et al.
Published: (2024)
by: Yang, Xiaodong, et al.
Published: (2024)
Exact Matching in Correlated Networks with Node Attributes for Improved Community Recovery
by: Yang, Joonhyuk, et al.
Published: (2025)
by: Yang, Joonhyuk, et al.
Published: (2025)
Finding Super-spreaders in Network Cascades
by: Mossel, Elchanan, et al.
Published: (2024)
by: Mossel, Elchanan, et al.
Published: (2024)
Spectral Estimators for Multi-Index Models: Precise Asymptotics and Optimal Weak Recovery
by: Kovačević, Filip, et al.
Published: (2025)
by: Kovačević, Filip, et al.
Published: (2025)
Random geometric graphs with smooth kernels: sharp detection threshold and a spectral conjecture
by: Mao, Cheng, et al.
Published: (2026)
by: Mao, Cheng, et al.
Published: (2026)
Generating Rectifiable Measures through Neural Networks
by: Riegler, Erwin, et al.
Published: (2024)
by: Riegler, Erwin, et al.
Published: (2024)
Degree Heterogeneity in Higher-Order Networks: Inference in the Hypergraph $\boldsymbolβ$-Model
by: Nandy, Sagnik, et al.
Published: (2023)
by: Nandy, Sagnik, et al.
Published: (2023)
Graph Attention Network for Node Regression on Random Geometric Graphs with Erdős--Rényi contamination
by: Laha, Somak, et al.
Published: (2026)
by: Laha, Somak, et al.
Published: (2026)
Weak recovery, hypothesis testing, and mutual information in stochastic block models and planted factor graphs
by: Mossel, Elchanan, et al.
Published: (2024)
by: Mossel, Elchanan, et al.
Published: (2024)
Sharp One-Dimensional Sub-Gaussian Comparison in Convex Order
by: Zhang, Yihan
Published: (2026)
by: Zhang, Yihan
Published: (2026)
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods
by: Zhang, Yihan, et al.
Published: (2024)
by: Zhang, Yihan, et al.
Published: (2024)
Spectral Estimators for Structured Generalized Linear Models via Approximate Message Passing
by: Zhang, Yihan, et al.
Published: (2023)
by: Zhang, Yihan, et al.
Published: (2023)
Optimal Estimation in Orthogonally Invariant Generalized Linear Models: Spectral Initialization and Approximate Message Passing
by: Zhang, Yihan, et al.
Published: (2026)
by: Zhang, Yihan, et al.
Published: (2026)
Partial and Exact Recovery of a Random Hypergraph from its Graph Projection
by: Bresler, Guy, et al.
Published: (2025)
by: Bresler, Guy, et al.
Published: (2025)
Unifying AMP Algorithms for Rotationally-Invariant Models
by: Liu, Songbin, et al.
Published: (2024)
by: Liu, Songbin, et al.
Published: (2024)
Optimality of Approximate Message Passing Algorithms for Spiked Matrix Models with Rotationally Invariant Noise
by: Dudeja, Rishabh, et al.
Published: (2024)
by: Dudeja, Rishabh, et al.
Published: (2024)
A Method For Bounding Tail Probabilities
by: Zlatanov, Nikola
Published: (2024)
by: Zlatanov, Nikola
Published: (2024)
Just Wing It: Near-Optimal Estimation of Missing Mass in a Markovian Sequence
by: Pananjady, Ashwin, et al.
Published: (2024)
by: Pananjady, Ashwin, et al.
Published: (2024)
Information-Theoretic Guarantees for Recovering Low-Rank Tensors from Symmetric Rank-One Measurements
by: Kızıldağ, Eren C.
Published: (2025)
by: Kızıldağ, Eren C.
Published: (2025)
Change of measure through the Legendre transform
by: Picard-Weibel, Antoine, et al.
Published: (2022)
by: Picard-Weibel, Antoine, et al.
Published: (2022)
Estimating stationary mass, frequency by frequency
by: Nakul, Milind, et al.
Published: (2025)
by: Nakul, Milind, et al.
Published: (2025)
Variations on the Expectation due to Changes in the Probability Measure
by: Perlaza, Samir M., et al.
Published: (2025)
by: Perlaza, Samir M., et al.
Published: (2025)
High-Dimensional Asymptotics of Differentially Private PCA
by: Yun, Youngjoo, et al.
Published: (2025)
by: Yun, Youngjoo, et al.
Published: (2025)
On Universality of Non-Separable Approximate Message Passing Algorithms
by: Lovig, Max, et al.
Published: (2025)
by: Lovig, Max, et al.
Published: (2025)
Variational Optimality of Föllmer Processes in Generative Diffusions
by: Chen, Yifan, et al.
Published: (2026)
by: Chen, Yifan, et al.
Published: (2026)
Stochastic block models with many communities and the Kesten--Stigum bound
by: Chin, Byron, et al.
Published: (2025)
by: Chin, Byron, et al.
Published: (2025)
Finding Super-spreaders in SIS Epidemics
by: Sridhar, Anirudh, et al.
Published: (2026)
by: Sridhar, Anirudh, et al.
Published: (2026)
Structural Measures of Resilience for Supply Chains
by: Papachristou, Marios, et al.
Published: (2023)
by: Papachristou, Marios, et al.
Published: (2023)
Spectral clustering in the Gaussian mixture block model
by: Li, Shuangping, et al.
Published: (2023)
by: Li, Shuangping, et al.
Published: (2023)
Analysis of Diffusion Models for Manifold Data
by: George, Anand Jerry, et al.
Published: (2025)
by: George, Anand Jerry, et al.
Published: (2025)
Multi-Community Spectral Clustering for Geometric Graphs
by: Allem, Luiz Emilio, et al.
Published: (2025)
by: Allem, Luiz Emilio, et al.
Published: (2025)
Generating Networks to Target Assortativity via Archimedean Copula Graphons
by: Idowu, Victory
Published: (2025)
by: Idowu, Victory
Published: (2025)
Statistical Guarantees for Link Prediction using Graph Neural Networks
by: Chung, Alan, et al.
Published: (2024)
by: Chung, Alan, et al.
Published: (2024)
Computationally efficient reductions between some statistical models
by: Lou, Mengqi, et al.
Published: (2024)
by: Lou, Mengqi, et al.
Published: (2024)
Message-Passing on Hypergraphs: Detectability, Phase Transitions and Higher-Order Information
by: Ruggeri, Nicolò, et al.
Published: (2023)
by: Ruggeri, Nicolò, et al.
Published: (2023)
Maximum entropy based testing in network models: ERGMs and constrained optimization
by: Ghosh, Subhro, et al.
Published: (2026)
by: Ghosh, Subhro, et al.
Published: (2026)
Similar Items
-
Efficient Graph Matching for Correlated Stochastic Block Models
by: Chai, Shuwen, et al.
Published: (2024) -
Correlated uniform attachment trees
by: Bäumler, Johannes, et al.
Published: (2026) -
Perfect Recovery for Random Geometric Graph Matching with Shallow Graph Neural Networks
by: Liu, Suqi, et al.
Published: (2024) -
Exact Community Recovery in the Geometric SBM
by: Gaudio, Julia, et al.
Published: (2023) -
Fundamental limits of community detection from multi-view data: multi-layer, dynamic and partially labeled block models
by: Yang, Xiaodong, et al.
Published: (2024)